Director, Global Network Reliability Engineering

Reposted 4 Hours Ago
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Santa Clara, CA
In-Office
268K-408K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead NVIDIA's global network operations for reliability, scalability, and efficiency, fostering team growth and implementing data-driven, automated support models.
Summary Generated by Built In

NVIDIA is seeking a Director of  Network Reliability Engineering within the Enterprise Networking organization in IT. As the #1 AI Company in the world builds and delivers infrastructure, join the Enterprise networking organization to lead NVIDIA's Network Reliability Engineering team. From Data Centers to Contract Manufacturing sites, this org builds them all.

In this role, you will be responsible for NVIDIA’s global network operations, ensuring reliability, scalability and efficiency goals are defined and met. You will be leading a team of network reliability engineers to bring in a data driven approach to operations, with focus on observability, well defined success metrics, and making continuous improvements. You will lead design and automation of all operations, provide architectural input based on outage patterns and observability trends and be the keeper of excellence in Networking. The successful candidate would be able to leverage an execution mindset to facilitate effective translation of strategic plans to incremental delivery of impact to the business. Structured thinking and problem-solving skills, along with exceptional communication abilities will be crucial for success in this role as you build strong teams that partner with engineering and operations teams across NVIDIA. The leader will join and lead global operations across several countries, covering all of NVIDIA’s data centers, Labs, Super Labs, Offices and Contract Manufacturing sites.

What you will be doing:

  • Your main focus will be maturing the current support model and processes to a more data driven, automated, SRE model.

  • Build an in-house team of reliability experts for networking support and operations from the existing outsourced SMES , providing leadership, direction, and strategy for a growing team.

  • Set the technical vision, strategy, and roadmap for network operations in partnership with the key infrastructure and partner teams.

  • Work across Network Architecture, Network engineering and partner well to establish run books, regular training sessions and ensure we build the network to be self-healing.

  • Work very well in understanding RCAs from events and incidents and work with our AI operations to enrich our observability tooling for better full stack view of the network to applications. 

  • Influence the architecture of the Nvidia networks both on-prem and in the clouds. 

What we need to see:

  • Bachelor’s degree in Computer Science, related technical field, or equivalent experience

  • Experience building and growing teams that are geographically distributed , appreciate local operations and bring in a global perspective, following standards.

  • Ability to do technical deep-dives into code, networking, operating systems, and storage, as well as being verbally and cognitively agile enough to hold your own in strategy discussions with NVIDIA’s executive team and peer SMEs

  • Ability to identify trends and promote solutions that solve challenges efficiently across multiple product areas

  • Excellent innovative thinking, collaboration, and problem-solving skills.

  • 12+ overall years of experience with system design, network architecture, network engineering, and network operations and 7+ years Leadership of experience

Ways to stand out from the crowd:

  • Experience transforming network operations using software driven methods

  • Experience in a Hyperscale Cloud Service Provider (public facing or not)

  • Knowledge of SRE principles (observability, SLOs, SLIs, logging, etc)

  • Knowledge of software interface design & documentation for less technical end-users

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 268,000 USD - 408,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

AI
Networking
Observability
Sre
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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